Principal Full-Stack Data Engineer
Core
Design, build, and stabilize mission-critical data and ML platforms powering Eneco's energy balancing chain from long-term forecasting to real-time trading.
Role type
Principal Full-Stack Data Engineer
Builds
Distributed data systems, event-driven architectures, and ML pipelines for energy trading and forecasting
Domain
Energy sector, data engineering, machine learning
Deliverable
production ML models | infrastructure
Required skills
Databricks, Delta Lake/Unity Catalog, Airflow, Snowflake, dbt, Azure cloud services, distributed data systems design, data lineage, data quality frameworks, ML engineering, MLOps, DevOps, CI/CD, infrastructure as code, containerization, API design
Preferred skills
None stated
Technologies
Databricks, Delta Lake, Unity Catalog, Airflow, Snowflake, dbt, Azure
Responsibilities
Design and implement data and ML platforms and pipelines; modernize and refactor legacy data and ML workflows; shape and review technical designs for robustness and scalability; advise Engineering Managers on technical decision-making and architectural direction
Seniority
Principal, hands-on technical leadership